IDEAS home Printed from https://ideas.repec.org/a/spr/jotpro/v31y2018i1d10.1007_s10959-016-0715-3.html
   My bibliography  Save this article

Large and Moderate Deviation Principles for Engel Continued Fractions

Author

Listed:
  • Lulu Fang

    (South China University of Technology)

  • Min Wu

    (South China University of Technology)

  • Lei Shang

    (Anhui University)

Abstract

Large and moderate deviation principles are proved for Engel continued fractions, a new type of continued fraction expansion with non-decreasing partial quotients in number theory.

Suggested Citation

  • Lulu Fang & Min Wu & Lei Shang, 2018. "Large and Moderate Deviation Principles for Engel Continued Fractions," Journal of Theoretical Probability, Springer, vol. 31(1), pages 294-318, March.
    • Handle: RePEc:spr:jotpro:v:31:y:2018:i:1:d:10.1007_s10959-016-0715-3
    DOI: 10.1007/s10959-016-0715-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10959-016-0715-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10959-016-0715-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fang, Lulu, 2015. "Large and moderate deviations for modified Engel continued fractions," Statistics & Probability Letters, Elsevier, vol. 98(C), pages 98-106.
    2. Gao, Fuqing, 2008. "Moderate deviations and law of the iterated logarithm in for kernel density estimators," Stochastic Processes and their Applications, Elsevier, vol. 118(3), pages 452-473, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Feng, Tingting & Wang, Shaochen & Yang, Guangyu, 2020. "Large and moderate deviation principles for the Erdös–Kac theorem in function fields," Statistics & Probability Letters, Elsevier, vol. 163(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jotpro:v:31:y:2018:i:1:d:10.1007_s10959-016-0715-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.